Evidence map›Paper›PMID 29044112›Full record

ArticleNature communications2017

Cognitive task information is transferred between brain regions via resting-state network topology.

Takuya Ito, Kaustubh R Kulkarni, Douglas H Schultz, Ravi D Mill, Richard H Chen, Levi I Solomyak, Michael W Cole

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Takuya ItoCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA. taku.ito1@gmail.com.ORCID http://orcid.org/0000-0002-2060-4608
Kaustubh R KulkarniCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.
Douglas H SchultzCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.ORCID http://orcid.org/0000-0003-0809-9036
Ravi D MillCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.
Richard H ChenCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.
Levi I SolomyakCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.
Michael W ColeCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.ORCID http://orcid.org/0000-0003-4329-438X

Funding

Brain Network Mechanisms of Aging-Related Cognitive DeclineR01AG055556 · NIA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2017 to 2022
$2.3M
Brain Network Mechanisms of Instructed LearningR01MH109520 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2016 to 2020
$2.0M
Network Mechanisms of Flexible Cognitive ControlR00MH096801 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2014 to 2016
$747k
Network Mechanisms of Flexible Cognitive ControlK99MH096801 · NIMH · WASHINGTON UNIVERSITY · PI COLE, MICHAEL WILLIAM · 2012 to 2013
$165k
NIA NIH HHS R01 AG055556NIMH NIH HHS K99 MH096801NIMH NIH HHS R00 MH096801NIMH NIH HHS R01 MH109520
6 · The paper itself

Abstract

Resting-state network connectivity has been associated with a variety of cognitive abilities, yet it remains unclear how these connectivity properties might contribute to the neurocognitive computations underlying these abilities. We developed a new approach-information transfer mapping-to test the hypothesis that resting-state functional network topology describes the computational mappings between brain regions that carry cognitive task information. Here, we report that the transfer of diverse, task-rule information in distributed brain regions can be predicted based on estimated activity flow through resting-state network connections. Further, we find that these task-rule information transfers are coordinated by global hub regions within cognitive control networks. Activity flow over resting-state connections thus provides a large-scale network mechanism for cognitive task information transfer and global information coordination in the human brain, demonstrating the cognitive relevance of resting-state network topology.

Indexed as

BrainBrain MappingCognitionFemaleHumansMagnetic Resonance ImagingNeural PathwaysYoung Adult

Identifiers

PMID29044112
PMCPMC5715061

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.